[英]how can I iterate through all objects in a json response in python
I have been banging my head pretty hard against the wall trying to figure out why I can get some attributes but not all in a json response(in Python)我一直在努力想弄清楚为什么我可以在 json 响应中获得一些属性但不能全部获得(在 Python 中)
For example: when running the code in the below function, the 3 attributes I am getting here and found successfully(_id, state, type, and name) are all on the same level as some other attributes, however it seems I cannot get the other attributes.例如:运行下面 function 中的代码时,我在这里找到并成功找到的 3 个属性(_id、state、类型和名称)都与其他一些属性处于同一级别,但似乎我无法获得其他属性。 (See full json response below the function.) (请参阅 function 下方的完整 json 响应。)
Values I cant get are for scan_progress_status, parent_scan_id, parent_scan_type我无法获得的值为 scan_progress_status、parent_scan_id、parent_scan_type
getScans = scans.get_scans()
scanResults = json.loads(getScans)
results = {}
for x in scanResults['scans']:
results.update({x['_id'][0:]: {
'state': x['state'],
'name': x['name'],
'type': x['type'],
'parent_scan_id': x['parent_scan_id']
}
})
y = json.dumps(results)
scanStates = cj.convert_pretty_json(y)
return scanStates
RESPONSE回复
{
"scans": [
{
"_id": "60c40198152afeca2e5f2cfd",
"classification_is_enabled": true,
"connectorType": "rdb-postgresql",
"created_at": "2021-06-12T00:36:40.322Z",
"customConnectorType": "default",
"ds_connection_name": "client_id_test",
"ds_location": null,
"identityConnectionsUuid": [],
"isDifferential": false,
"isSampling": false,
"name": "GenericScanner Subscan 1/1: client_id_test",
"number_of_parsing_threads": 2,
"origin": "client_id_test",
"parent_scan_id": "60c40198152afeca2e5f2ce7",
"parent_scan_type": "full_scan",
"profile_id": null,
"row_identifier_expression_is_disabled": false,
"scanSecretKey": "masked0a0VT24aOvlg==",
"scan_progress_status": {
"Queued": "2021-06-12T00:36:40.322Z",
"CollectingMetadata": "2021-06-12T00:36:44.239Z"
},
"scanner_group": "default",
"scanner_type_group": "structured",
"state": "CollectingMetadata",
"structured_clustering_enabled": false,
"type": "sub_scan",
"updated_at": "2021-06-12T00:36:44.364Z",
"startTimestamp": 1623458200354,
"enumerationState": "Completed",
"scan_enumeration_progress_status": {
"Started": "2021-06-12T00:36:44.239Z",
"Completed": "2021-06-12T00:36:44.364Z"
},
"scannerId": "4340cbb7-5949-4412-8ddf-afd36dd16d1c",
"latestCollectionScanned": {
"fullyQualifiedName": "client_id_test.public.clients",
"totalRows": null,
"totalRowsWithFindings": null
},
"scannedSize": 0,
"totalCollections": 0,
"totalEnumerated": 1,
"totalFailedCollections": 0,
"totalFindings": 0,
"totalRows": 0,
"totalRowsWithFindings": 0,
"scan_parts_counter": {
"New": 1
}]}
What makes parent_scan_id, and some of the others different enough that it would cause Key Errors?是什么让 parent_scan_id 和其他一些不同之处足以导致关键错误?
The answer turned out to be the attributes like 'parent_scan_id" where I was getting key errors was because some blocks did not have this attribute.答案原来是像“parent_scan_id”这样的属性,我遇到关键错误是因为某些块没有这个属性。
The Solution was to set a variable to parent_scan_id, and if it exists then update my results object解决方案是将变量设置为 parent_scan_id,如果存在则更新我的结果 object
for x in scanResults['scans']:
parent_scan_id = x['parent_scan_id'] if 'parent_scan_id' in x else 'undefined'
results.update({x['_id'][0:]: {
'state': x['state'],
'name': x['name'],
'type': x['type'],
'parent_scan_id': parent_scan_id
}
})
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